diag_output.txt

MVM2 OCR DIAGNOSTIC TOOL
========================
[INFO] 2026-03-12 13:52:02,562 [RapidOCR] base.py:22: Using engine_name: onnxruntime
[INFO] 2026-03-12 13:52:02,566 [RapidOCR] main.py:53: Using C:\Users\Varshith Dharmaj\AppData\Roaming\cnstd\1.2\ppocr\ch_PP-OCRv5_det\ch_PP-OCRv5_det_infer.onnx
Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.
Could not find any ONNX files with standard file name decoder_model_merged.onnx, files found: [WindowsPath('decoder_model.onnx'), WindowsPath('encoder_model.onnx')]. Please make sure to pass a `file_name` and/or `subfolder` argument to `from_pretrained` when loading an ONNX file with non-standard file names.
Loaded Pix2Text Model successfully.
Engine Model Loaded: True

[TESTING RAW] test_math.png
Loading C:\Users\Varshith Dharmaj\AppData\Roaming\pix2text\1.1\mfd-1.5-onnx\pix2text-mfd-1.5.onnx for ONNX Runtime inference...
Using ONNX Runtime 1.24.3 with CPUExecutionProvider

0: 384x768 1 embedding, 1 isolated, 311.3ms
Speed: 35.2ms preprocess, 311.3ms inference, 2.7ms postprocess per image at shape (1, 3, 384, 768)

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:00<00:00,  3.19it/s]
100%|##########| 1/1 [00:00<00:00,  3.19it/s]
Raw Result: 
$$
2 x+4=1 0
$$


[TESTING ENHANCED] test_math.png

0: 384x768 (no detections), 325.2ms
Speed: 7.0ms preprocess, 325.2ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 768)

0it [00:00, ?it/s]
0it [00:00, ?it/s]
Enhanced Result: 2x+4-0

[SKIP] services/dashboard/test_math.png not found.

[TESTING RAW] synth_math.png

0: 192x768 1 isolated, 134.7ms
Speed: 5.7ms preprocess, 134.7ms inference, 11.0ms postprocess per image at shape (1, 3, 192, 768)

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:00<00:00,  1.55it/s]
100%|##########| 1/1 [00:00<00:00,  1.54it/s]
Raw Result: 
$$
\mathrm{f ( x ) ~=~ x \ensuremath{\to} 2 ~+~ 2 x ~+~ 1}
$$


[TESTING ENHANCED] synth_math.png

0: 192x768 1 isolated, 117.2ms
Speed: 1.9ms preprocess, 117.2ms inference, 1.0ms postprocess per image at shape (1, 3, 192, 768)

  0%|          | 0/1 [00:00<?, ?it/s]
100%|##########| 1/1 [00:00<00:00,  2.09it/s]
100%|##########| 1/1 [00:00<00:00,  2.09it/s]
Enhanced Result: 
$$
\mathrm{f ( x ) ~=~ x \hat{~} 2 ~+~ 2 x ~+~ 1 ~}
$$